What are ensemble learning methods in machine learning?
An example of an AI chatbot conversation about ensemble learning methods in machine learning.
What are ensemble learning methods in machine learning?
Ensemble learning methods combine multiple models to improve performance. They leverage the strengths of each model.
Can you give me some examples of ensemble learning techniques?
Sure! Common techniques include Bagging, Boosting, and Stacking.
How does Boosting work?
Boosting works by sequentially training models, where each new model focuses on the errors made by the previous ones.
What are the advantages of using ensemble methods?
Ensemble methods often lead to better accuracy, robustness, and generalization compared to individual models.
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